Entrepreneurship on family business: Bibliometric overview (2005–2018)

This paper presents an overview of entrepreneurship in the family business. We used detailed bibliometric analysis to map terms and analyze relations and tendencies between documents, keywords, authors, universities, organizations, and countries. The purpose is to understand better the phenomenon of...

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Bibliographic Details
Published in:Journal of intelligent & fuzzy systems 2020-01, Vol.38 (5), p.5589-5604
Main Authors: Niebla-Zatarain, Juan C., Pinedo-de-Anda, Francisco J., Leyva-Duarte, Efren
Format: Article
Language:English
Subjects:
Bibliographic coupling
Bibliographies
Bibliometrics
Business
Citation analysis
Citation indexes
Entrepreneurship
Family owned businesses
Keywords
Mapping
Software
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Summary:This paper presents an overview of entrepreneurship in the family business. We used detailed bibliometric analysis to map terms and analyze relations and tendencies between documents, keywords, authors, universities, organizations, and countries. The purpose is to understand better the phenomenon of Entrepreneurship, their relationship, and implications related to causes and consequences derived from a family business on the first stage of their life. Scholars with interests in entrepreneurship may find relevant and pertinency information about patterns of research between Universities, authors, countries, keywords, and the co-citations and co-occurrences of them. We used descriptive bibliometric analysis, to show in this study bibliometric characteristics reporting publication and citation trends from 2005 to 2018, combining bibliometric analysis and mapping, with thematic analysis, using Web of Science and VoSviewer software. We based this research on the Web of Sciences (WoS) Core Collection including: Science Citation Index Expanded (Sci-Expanded), Social Sciences Citation Index (SSCI), Arts & Humanities Citation Index (A&HCI), Emerging Sources Citation Index (ESCI), in order to analyze the most productive authors, institutions and countries; besides we look for the most cited papers and articles. Bibliometric indicators represent bibliographic data, including the total number of publications and citations between 2005 and 2018 found in WoS. We created, based on VOSviewer software, graphical visualization of the bibliographic material, developing the map of different terms: journals, keywords, institutions, besides bibliographic coupling and co-citation analysis.
ISSN:1064-1246
1875-8967
DOI:10.3233/JIFS-179649